Live status · Read the latest
monad-knowledge Wi-Fi sensing lab · FIIT STU
Instrument · the thesis estimator's own output

What the estimator believed.

Every minute, the frozen model holds a probability for each headcount from 0 to 160. Explore what it concluded on each exported day: all days at once, one day in depth beside the four radio signals it read, or several days overlaid. Every chart says what it shows and how to read it.

In plain words Explore what the frozen model believed: whether the library was empty, lightly used or busy, which band of headcounts it thought likely, and how wide its honest answer had to be. See every day at once, open one day beside the four radio signals it read, or lay several days over each other.

Frozen model 964a0a420ed0e427… · 16 exported days · exported 2026-10-17 15:57 UTC. Posteriors are filtered: each minute is answered from earlier minutes only and never revised. No people count is shown here, and none enters the model. How the estimator works, lesson by lesson.

Exported days. A day appears only when its CSI is covered by a published lake release.
DayKindMinutes with CSIMinutes with BluetoothHighest posterior mean (prior A)
2026-09-30development4861424111.0
2026-10-01development6941440100.8
2026-10-02development336139357.5
2026-10-03development30314406.9
2026-10-04development15114407.6
2026-10-05development7161440116.8
2026-10-06development5081440121.9
2026-10-07development5511440115.0
2026-10-08development8641440135.8
2026-10-09development1531440118.8
2026-10-10development91141020.5
2026-10-11development148144017.4
2026-10-12development6371440117.8
2026-10-13development7411440116.1
2026-10-14development8971440122.1
2026-10-15development899142499.5
2026-10-11 hour by hour, fused model, prior A
HourP(empty)P(low)P(busy)Widest 90 % set (bands)Most Bluetooth addressesMean of the posterior mean
0.9940.0060.000200.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.8380.1620.0001240.6
0.0000.9970.0042195.9
0.0000.9740.0262218.7
0.0000.9690.0312239.7
0.0000.9670.03322911.8
0.0000.9520.04833614.5
0.0000.9650.03523412.8
0.3120.6860.0032133.5
0.9980.0020.000100.0
0.9990.0010.000100.0
0.9970.0030.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0
0.9990.0010.000100.0

Bands: 0 · 1–10 · 11–30 · 31–60 · 61–100 · 101+. Levels: empty = 0, low = 1–30, busy = 31+. Both declared scale priors are available; prior A is primary. "dev" days lie inside the frozen model's fit window, so they show how it reads observations, not how well it counts. JSON: the index · this day.